Load Libraries
packages <- c(
'ggplot2','tidyverse','plotly','leaflet',
'shiny','shinyWidgets','shinydashboard',
'xts','forecast','TTR',
'DT','lubridate','RColorBrewer','scales','stopwords',
'tidytext','stringr','wordcloud','wordcloud2',
'SnowballC','textmineR','topicmodels','textclean','tm'
)
for (package in packages) {
if (!require(package, character.only = T, quietly = T)) {
install.packages(package)
library(package, character.only = T)
}
}
Load data
crm <- read_csv("CRM_interacions_table.csv")
gift <- read_csv("gift_transactions_table.csv")
video <- read_csv("video_email_data_table.csv")
constituent <- read_csv("constituent_profiles_table.csv")
Data Exploration
CRM Data Overview
# CRM Interaction Type
g <- crm %>%
group_by(CRM_INTERACTION_TYPE) %>%
summarise(Total = n()) %>%
select(CRM_INTERACTION_TYPE, Total) %>%
ggplot(aes(x = reorder(CRM_INTERACTION_TYPE,Total) ,y = Total)) +
geom_bar(stat = "identity",width = 0.5, fill='black') +
scale_y_continuous(labels = scales::comma) +
labs(x ="CRM Interaction Type", y = "Count") + coord_flip() +
theme(legend.text = element_text(size = 12),
legend.title = element_text(size = 12),
axis.title = element_text(size = 14),
axis.text = element_text(size = 12))
ggplotly(g)
CRM Interaction Over Time
crm <- crm %>%
mutate(Year = lubridate::year(CRM_INTERACTION_DATE),
Quarter = lubridate::quarter(CRM_INTERACTION_DATE),
Month = lubridate::month(CRM_INTERACTION_DATE, label = TRUE),
DOW = lubridate::wday(CRM_INTERACTION_DATE, label=TRUE))
CRM Interaction by Year
crm_year <- crm %>%
group_by(Year, CRM_INTERACTION_TYPE) %>%
summarise(Total = n()) %>%
select(Year,CRM_INTERACTION_TYPE, Total)
g <- ggplot(crm_year, aes(as.factor(Year), Total, group=CRM_INTERACTION_TYPE, colour = CRM_INTERACTION_TYPE)) +
geom_line( linewidth=1) + theme_minimal() +
labs(x = "Year", y = "Total", color="CRM Interaction Type") +
scale_y_continuous(labels = comma) +
theme(legend.text = element_text(size = 10),
legend.title = element_text(size = 10),
axis.title = element_text(size = 10),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
CRM Interaction by Quarter
crm %>%
group_by(Quarter, CRM_INTERACTION_TYPE) %>%
summarise(Total = n()) %>%
select(Quarter,CRM_INTERACTION_TYPE, Total) %>%
ggplot(aes(as.factor(Quarter), Total, group=CRM_INTERACTION_TYPE, colour = CRM_INTERACTION_TYPE)) +
geom_line( linewidth=1) + theme_minimal() +
labs(x = "Quarter", y = "Total", color="CRM Interaction Type") +
scale_y_continuous(labels = comma) +
theme(legend.text = element_text(size = 10),
legend.title = element_text(size = 10),
axis.title = element_text(size = 10),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 0, hjust = 1))

CRM Interaction by Month
crm %>%
group_by(Month, CRM_INTERACTION_TYPE) %>%
summarise(Total = n()) %>%
select(Month,CRM_INTERACTION_TYPE, Total) %>%
ggplot(aes(as.factor(Month), Total, group=CRM_INTERACTION_TYPE, colour = CRM_INTERACTION_TYPE)) +
geom_line( linewidth=1) + theme_minimal() +
labs(x = "Quarter", y = "Total", color="CRM Interaction Type") +
scale_y_continuous(labels = comma) +
theme(legend.text = element_text(size = 10),
legend.title = element_text(size = 10),
axis.title = element_text(size = 10),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 0, hjust = 1))

CRM Interaction by Day of Week
crm %>%
group_by(DOW, CRM_INTERACTION_TYPE) %>%
summarise(Total = n()) %>%
select(DOW,CRM_INTERACTION_TYPE, Total) %>%
ggplot(aes(as.factor(DOW), Total, group=CRM_INTERACTION_TYPE, colour = CRM_INTERACTION_TYPE)) +
geom_line( linewidth=1) + theme_minimal() +
labs(x = "Day of Week", y = "Total", color="CRM Interaction Type") +
scale_y_continuous(labels = comma) +
theme(legend.text = element_text(size = 10),
legend.title = element_text(size = 10),
axis.title = element_text(size = 10),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 0, hjust = 1))

Gift Overview
Gifts overtime
gift <- gift %>%
mutate(Year = lubridate::year(GIFT_DATE),
Quarter = lubridate::quarter(GIFT_DATE),
Month = lubridate::month(GIFT_DATE, label = TRUE),
DOW = lubridate::wday(GIFT_DATE, label=TRUE))
Gift by Year
g <- gift %>%
group_by(Year) %>%
summarise(Total = sum(AMOUNT)) %>%
select(Year, Total) %>%
na.omit() %>%
ggplot(aes(Year, Total)) +
geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
labs(x = "Year", y = "Total") +
scale_y_continuous(labels = comma) +
theme(legend.text = element_text(size = 10),
legend.title = element_text(size = 10),
axis.title = element_text(size = 10),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 90, hjust = 1))
ggplotly(g)
Gift by Quarter
g <- gift %>%
group_by(Quarter) %>%
summarise(Total = sum(AMOUNT)) %>%
select(Quarter, Total) %>%
na.omit() %>%
ggplot(aes(Quarter, Total)) +
geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
labs(x = "Quarter", y = "Total") +
scale_y_continuous(labels = comma) +
theme(legend.text = element_text(size = 10),
legend.title = element_text(size = 10),
axis.title = element_text(size = 10),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
Gift by Month
g <- gift %>%
group_by(Month) %>%
summarise(Total = sum(AMOUNT)) %>%
select(Month, Total) %>%
na.omit() %>%
ggplot(aes(Month, Total)) +
geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
labs(x = "Month", y = "Total") +
scale_y_continuous(labels = comma) +
theme(legend.text = element_text(size = 10),
legend.title = element_text(size = 10),
axis.title = element_text(size = 10),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
Gift by Day of Week
g <- gift %>%
group_by(DOW) %>%
summarise(Total = sum(AMOUNT)) %>%
select(DOW, Total) %>%
na.omit() %>%
ggplot(aes(DOW, Total)) +
geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
labs(x = "Day of Week", y = "Total") +
scale_y_continuous(labels = comma) +
theme(legend.text = element_text(size = 10),
legend.title = element_text(size = 10),
axis.title = element_text(size = 10),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
Video Overview
Video Views over time
video <- video %>%
mutate(Year = lubridate::year(SENT_DATE),
Quarter = lubridate::quarter(SENT_DATE),
Month = lubridate::month(SENT_DATE, label = TRUE),
DOW = lubridate::wday(SENT_DATE, label=TRUE))
Video views by year
g <- video %>%
group_by(Year) %>%
summarise(Total = sum(VIDEO_VIEWS)) %>%
select(Year, Total) %>%
na.omit() %>%
ggplot(aes(as.factor(Year), Total)) +
geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
labs(x = "Year", y = "Total") +
scale_y_continuous(labels = comma) +
theme(legend.text = element_text(size = 10),
legend.title = element_text(size = 10),
axis.title = element_text(size = 10),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
Video Views by Quarter
g <- video %>%
group_by(Quarter) %>%
summarise(Total = sum(VIDEO_VIEWS)) %>%
select(Quarter, Total) %>%
na.omit() %>%
ggplot(aes(Quarter, Total)) +
geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
labs(x = "Quarter", y = "Total") +
scale_y_continuous(labels = comma) +
theme(legend.text = element_text(size = 10),
legend.title = element_text(size = 10),
axis.title = element_text(size = 10),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
Video Views by Month
g <- video %>%
group_by(Month) %>%
summarise(Total = sum(VIDEO_VIEWS)) %>%
select(Month, Total) %>%
na.omit() %>%
ggplot(aes(Month, Total)) +
geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
labs(x = "Month", y = "Total") +
scale_y_continuous(labels = comma) +
theme(legend.text = element_text(size = 10),
legend.title = element_text(size = 10),
axis.title = element_text(size = 10),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
Video Views by Day of Week
g <- video %>%
group_by(DOW) %>%
summarise(Total = sum(VIDEO_VIEWS)) %>%
select(DOW, Total) %>%
na.omit() %>%
ggplot(aes(DOW, Total)) +
geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
labs(x = "Day of the week", y = "Total") +
scale_y_continuous(labels = comma) +
theme(legend.text = element_text(size = 10),
legend.title = element_text(size = 10),
axis.title = element_text(size = 10),
axis.text = element_text(size = 10),
axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
Part 1: The Untapped Potential: Understanding Our Donor
Landscape
Part 2: A Tale of Portfolios/Customer Segmentation
Part 3: The Path Forward: Activating Our Strategy
---
title: "Apra Data Science Challenge 2025"
output: html_notebook
---

# Load Libraries
```{r}

packages <- c(
  'ggplot2','tidyverse','plotly','leaflet',
  'shiny','shinyWidgets','shinydashboard',
  'xts','forecast','TTR',
  'DT','lubridate','RColorBrewer','scales','stopwords',
  'tidytext','stringr','wordcloud','wordcloud2',
  'SnowballC','textmineR','topicmodels','textclean','tm'
)
for (package in packages) { 
  if (!require(package, character.only = T, quietly = T)) {
    install.packages(package)
    library(package, character.only = T)
  }
}
```

# Load data
```{r}
crm <- read_csv("CRM_interacions_table.csv")
gift <- read_csv("gift_transactions_table.csv")
video <- read_csv("video_email_data_table.csv")
constituent <- read_csv("constituent_profiles_table.csv")
```

# Data Exploration

## CRM Data Overview
```{r}
# CRM Interaction Type
g <- crm %>%
        group_by(CRM_INTERACTION_TYPE) %>%
        summarise(Total = n()) %>%
        select(CRM_INTERACTION_TYPE, Total) %>%
        ggplot(aes(x = reorder(CRM_INTERACTION_TYPE,Total) ,y = Total))  +
        geom_bar(stat = "identity",width = 0.5, fill='black')  +
        scale_y_continuous(labels = scales::comma) +
        labs(x ="CRM Interaction Type", y = "Count") + coord_flip() +
        theme(legend.text = element_text(size = 12),
              legend.title = element_text(size = 12),
              axis.title = element_text(size = 14),
              axis.text = element_text(size = 12))
      
ggplotly(g)
```


### CRM Interaction Over Time
```{r}
crm <- crm %>%
        mutate(Year = lubridate::year(CRM_INTERACTION_DATE),
               Quarter = lubridate::quarter(CRM_INTERACTION_DATE),
               Month = lubridate::month(CRM_INTERACTION_DATE, label = TRUE),
               DOW = lubridate::wday(CRM_INTERACTION_DATE, label=TRUE))
```

#### CRM Interaction by Year
```{r}
crm_year <- crm %>%
group_by(Year, CRM_INTERACTION_TYPE) %>%
        summarise(Total = n()) %>%
        select(Year,CRM_INTERACTION_TYPE, Total)

   g <- ggplot(crm_year, aes(as.factor(Year), Total, group=CRM_INTERACTION_TYPE, colour = CRM_INTERACTION_TYPE)) + 
      geom_line( linewidth=1) + theme_minimal() +
      labs(x = "Year", y = "Total", color="CRM Interaction Type") + 
      scale_y_continuous(labels = comma) +
      theme(legend.text = element_text(size = 10),
            legend.title = element_text(size = 10),
            axis.title = element_text(size = 10),
            axis.text = element_text(size = 10),
            axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
```

#### CRM Interaction by Quarter
```{r}
crm %>%
group_by(Quarter, CRM_INTERACTION_TYPE) %>%
        summarise(Total = n()) %>%
        select(Quarter,CRM_INTERACTION_TYPE, Total) %>% 
      ggplot(aes(as.factor(Quarter), Total, group=CRM_INTERACTION_TYPE, colour = CRM_INTERACTION_TYPE)) + 
      geom_line( linewidth=1) + theme_minimal() +
      labs(x = "Quarter", y = "Total", color="CRM Interaction Type") + 
      scale_y_continuous(labels = comma) +
      theme(legend.text = element_text(size = 10),
            legend.title = element_text(size = 10),
            axis.title = element_text(size = 10),
            axis.text = element_text(size = 10),
            axis.text.x = element_text(angle = 0, hjust = 1))

```

#### CRM Interaction by Month
```{r}
crm %>%
group_by(Month, CRM_INTERACTION_TYPE) %>%
        summarise(Total = n()) %>%
        select(Month,CRM_INTERACTION_TYPE, Total) %>% 
      ggplot(aes(as.factor(Month), Total, group=CRM_INTERACTION_TYPE, colour = CRM_INTERACTION_TYPE)) + 
      geom_line( linewidth=1) + theme_minimal() +
      labs(x = "Month", y = "Total", color="CRM Interaction Type") + 
      scale_y_continuous(labels = comma) +
      theme(legend.text = element_text(size = 10),
            legend.title = element_text(size = 10),
            axis.title = element_text(size = 10),
            axis.text = element_text(size = 10),
            axis.text.x = element_text(angle = 0, hjust = 1))
```


#### CRM Interaction by Day of Week
```{r}
crm %>%
group_by(DOW, CRM_INTERACTION_TYPE) %>%
        summarise(Total = n()) %>%
        select(DOW,CRM_INTERACTION_TYPE, Total) %>% 
      ggplot(aes(as.factor(DOW), Total, group=CRM_INTERACTION_TYPE, colour = CRM_INTERACTION_TYPE)) + 
      geom_line( linewidth=1) + theme_minimal() +
      labs(x = "Day of Week", y = "Total", color="CRM Interaction Type") + 
      scale_y_continuous(labels = comma) +
      theme(legend.text = element_text(size = 10),
            legend.title = element_text(size = 10),
            axis.title = element_text(size = 10),
            axis.text = element_text(size = 10),
            axis.text.x = element_text(angle = 0, hjust = 1))
```
## Gift Overview

### Gifts overtime
```{r}
gift <- gift %>%
        mutate(Year = lubridate::year(GIFT_DATE),
               Quarter = lubridate::quarter(GIFT_DATE),
               Month = lubridate::month(GIFT_DATE, label = TRUE),
               DOW = lubridate::wday(GIFT_DATE, label=TRUE))
```

#### Gift by Year
```{r}
g <- gift %>%
group_by(Year) %>%
        summarise(Total = sum(AMOUNT)) %>%
        select(Year, Total) %>% 
        na.omit() %>%
      ggplot(aes(Year, Total)) + 
      geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
      labs(x = "Year", y = "Total") + 
      scale_y_continuous(labels = comma) +
      theme(legend.text = element_text(size = 10),
            legend.title = element_text(size = 10),
            axis.title = element_text(size = 10),
            axis.text = element_text(size = 10),
            axis.text.x = element_text(angle = 90, hjust = 1))
ggplotly(g)
```

#### Gift by Quarter
```{r}
g <- gift %>%
group_by(Quarter) %>%
        summarise(Total = sum(AMOUNT)) %>%
        select(Quarter, Total) %>% 
        na.omit() %>%
      ggplot(aes(Quarter, Total)) + 
      geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
      labs(x = "Quarter", y = "Total") + 
      scale_y_continuous(labels = comma) +
      theme(legend.text = element_text(size = 10),
            legend.title = element_text(size = 10),
            axis.title = element_text(size = 10),
            axis.text = element_text(size = 10),
            axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
```

Gift by Month
```{r}
g <- gift %>%
group_by(Month) %>%
        summarise(Total = sum(AMOUNT)) %>%
        select(Month, Total) %>% 
        na.omit() %>%
      ggplot(aes(Month, Total)) + 
      geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
      labs(x = "Month", y = "Total") + 
      scale_y_continuous(labels = comma) +
      theme(legend.text = element_text(size = 10),
            legend.title = element_text(size = 10),
            axis.title = element_text(size = 10),
            axis.text = element_text(size = 10),
            axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
```

Gift by Day of Week
```{r}
g <- gift %>%
group_by(DOW) %>%
        summarise(Total = sum(AMOUNT)) %>%
        select(DOW, Total) %>% 
        na.omit() %>%
      ggplot(aes(DOW, Total)) + 
      geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
      labs(x = "Day of Week", y = "Total") + 
      scale_y_continuous(labels = comma) +
      theme(legend.text = element_text(size = 10),
            legend.title = element_text(size = 10),
            axis.title = element_text(size = 10),
            axis.text = element_text(size = 10),
            axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
```

## Video Overview
### Video Views over time
```{r}
video <- video %>%
        mutate(Year = lubridate::year(SENT_DATE),
               Quarter = lubridate::quarter(SENT_DATE),
               Month = lubridate::month(SENT_DATE, label = TRUE),
               DOW = lubridate::wday(SENT_DATE, label=TRUE))
```

#### Video views by year
```{r}
g <- video %>%
group_by(Year) %>%
        summarise(Total = sum(VIDEO_VIEWS)) %>%
        select(Year, Total) %>% 
        na.omit() %>%
      ggplot(aes(as.factor(Year), Total)) + 
      geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
      labs(x = "Year", y = "Total") + 
      scale_y_continuous(labels = comma) +
      theme(legend.text = element_text(size = 10),
            legend.title = element_text(size = 10),
            axis.title = element_text(size = 10),
            axis.text = element_text(size = 10),
            axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
```

#### Video Views by Quarter
```{r}
g <- video %>%
group_by(Quarter) %>%
        summarise(Total = sum(VIDEO_VIEWS)) %>%
        select(Quarter, Total) %>% 
        na.omit() %>%
      ggplot(aes(Quarter, Total)) + 
      geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
      labs(x = "Quarter", y = "Total") + 
      scale_y_continuous(labels = comma) +
      theme(legend.text = element_text(size = 10),
            legend.title = element_text(size = 10),
            axis.title = element_text(size = 10),
            axis.text = element_text(size = 10),
            axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
```

#### Video Views by Month
```{r}
g <- video %>%
group_by(Month) %>%
        summarise(Total = sum(VIDEO_VIEWS)) %>%
        select(Month, Total) %>% 
        na.omit() %>%
      ggplot(aes(Month, Total)) + 
      geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
      labs(x = "Month", y = "Total") + 
      scale_y_continuous(labels = comma) +
      theme(legend.text = element_text(size = 10),
            legend.title = element_text(size = 10),
            axis.title = element_text(size = 10),
            axis.text = element_text(size = 10),
            axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
```

#### Video Views by Day of Week
```{r}
g <- video %>%
group_by(DOW) %>%
        summarise(Total = sum(VIDEO_VIEWS)) %>%
        select(DOW, Total) %>% 
        na.omit() %>%
      ggplot(aes(DOW, Total)) + 
      geom_bar(stat = "identity",width = 0.5, fill='black') + theme_minimal() +
      labs(x = "Day of the week", y = "Total") + 
      scale_y_continuous(labels = comma) +
      theme(legend.text = element_text(size = 10),
            legend.title = element_text(size = 10),
            axis.title = element_text(size = 10),
            axis.text = element_text(size = 10),
            axis.text.x = element_text(angle = 0, hjust = 1))
ggplotly(g)
```
# Part 1: The Untapped Potential: Understanding Our Donor Landscape

```{r}

```


```{r}

```


```{r}

```


```{r}

```


# Part 2: A Tale of Portfolios/Customer Segmentation


```{r}

```


```{r}

```


```{r}

```


```{r}

```

# Part 3: The Path Forward: Activating Our Strategy

```{r}

```


```{r}

```


```{r}

```


```{r}

```
